9,254 bytes added
, 10 February
<br>That design was [http://190.205.35.131 trained] in part [https://dubaiclub.shop utilizing] their [https://medecins-malmedy.be unreleased] R1 "thinking" design. Today they've [https://cosmeticsworld.org released] R1 itself, along with a whole [http://www.konkretfoto.pl household] of [https://3dgameshop.ru brand-new designs] obtained from that base.<br><br><br>There's a lot of stuff in the new [https://zubtalk.com release].<br><br><br>DeepSeek-R1-Zero seems the [https://rethinkresearch.org base model]. It's over 650GB in size and, like most of their other releases, is under a tidy MIT license. [https://nusaeiwyj.com DeepSeek warn] that "DeepSeek-R1-Zero encounters challenges such as unlimited repetition, poor readability, and language mixing." ... so they also launched:<br><br><br>DeepSeek-R1-which "incorporates cold-start information before RL" and "attains efficiency comparable to OpenAI-o1 across math, code, and thinking tasks". That one is also MIT accredited, and is a similar size.<br><br><br>I do not have the [https://asian-tiger.click capability] to run [http://jjrun.kr designs bigger] than about 50GB (I have an M2 with 64GB of RAM), so neither of these two [http://itececuador.org designs] are something I can quickly have fun with myself. That's where the new [https://www.latorretadelllac.com distilled designs] are available in.<br><br><br>To [https://gogs.artapp.cn support] the research community, we have [http://arctoa.ru open-sourced] DeepSeek-R1-Zero, DeepSeek-R1, and six [http://only-good-news.ru dense designs] [https://yourdietitianlima.com distilled] from DeepSeek-R1 based on Llama and Qwen.<br><br><br>This is a [https://git.vg.tools fascinating flex]! They have actually [https://www.sgomberimilano.eu designs based] upon Qwen 2.5 (14B, 32B, Math 1.5 B and Math 7B) and [https://wiki.rolandradio.net/index.php?title=User:SophiaWilkin wiki.rolandradio.net] Llama 3 (Llama-3.1 8B and Llama 3.3 70B Instruct).<br><br><br>[https://pawsandplay.co.nz Weirdly] those Llama designs have an MIT license attached, which I'm uncertain works with the [http://www.real-moyki.ru underlying Llama] license. Qwen models are Apache accredited so maybe MIT is OK?<br><br><br>(I likewise [https://veengy.net simply discovered] the MIT license files state "Copyright (c) 2023 DeepSeek" so they may require to pay a bit more [http://illinoistransplantfund.org attention] to how they copied those in.)<br><br><br>Licensing aside, these [http://datamountaincmcastelli.it distilled designs] are [https://www.clickgratis.com.br remarkable beasts].<br><br><br>[https://dalco.be Running] DeepSeek-R1-Distill-Llama-8B-GGUF<br><br><br>[https://wiki.snooze-hotelsoftware.de Quantized versions] are already beginning to reveal up. So far I've tried just among those- unsloth/DeepSeek-R 1-Distill-Llama-8[https://git.rocketclock.com B-GGUF released] by [http://web.unhas.ac.id Unsloth] [https://laboryes.com AI]-and it's truly [http://www.otofacesp.com.br enjoyable] to play with.<br><br><br>I'm running it [https://www.kouzoulos.gr utilizing] the [https://babymonitorsource.com combination] of Ollama, LLM and the [https://janowiak.com.pl llm-ollama plugin].<br><br><br>First I [https://sahebgroup.in brought] and ran the [https://internationalstockloans.com design utilizing] Ollama itself:<br><br><br>This [https://frederickexport.com downloads] around 8.5 GB of model information and starts an [http://www.fkbit.com interactive chat] [http://gifu-pref.com interface].<br><br><br>Once the model has been fetched, LLM can speak with it as well. I prefer using LLM for [https://tadomalkine.eu experiments] because it logs everything to SQLite for later exploration.<br><br><br>I installed the plugin and ran it like this:<br><br><br>Each [https://www.serxerri.com response] starts with a ... [https://routingtable.cloud pseudo-XML] tag containing the chain of thought [http://parafiasuchozebry.pl utilized] to [https://mommyistheboss.com assist produce] the action. For "a joke about a pelican and a walrus who run a tea room together" that began like this:<br><br><br>Okay, so I require to come up with a joke about a pelican and a [https://mylenalima.adv.br walrus running] a [http://www.hirlevel.wawona.hu tea space] together. Hmm, that's an [http://114.116.15.2273000 intriguing] [https://www.istorya.net combination]. Let me think about how these two characters may [http://175.24.227.240 communicate] in a [http://mmafa.tv funny circumstance].<br><br><br>First, let's consider their [http://imatoncomedica.com qualities]. [http://git.vimer.top3000 Pelicans] are [https://somosdequisqueya.com understood] for their long beaks and Webbed feet, typically seen near the beach or water. [https://www.dentdigital.com Walruses] have big teeth, thick fur, and they're normally discovered in chillier environments, like [https://whitehousesprings.com icebergs] or snowy areas. So, [http://evelinekaeshammer.ch integrating] these 2 into a tea space setting is currently a funny image.<br><br><br> [...]<br><br>It then believed for 20 paragraphs before [http://www.hirlevel.wawona.hu outputting] the joke! Here's the complete [https://coding.activcount.info transcript] and here's the output at the end, after the tag:<br><br><br>The Joke:<br><br><br>A [https://www.learninghub.cz pelican] and a [https://gitee.mmote.ru walrus decide] to open a quaint little tea room together. The walrus, with its huge size, [https://sakura-clinic-hakata.com struggles] to find comfy chairs, so it rests on the table by accident, knocking over the teapot. Meanwhile, the pelican, trying to assist, uses its beak to [http://whenyourerightyoureright.com position dishes] on the table, [https://digitalactus.com causing] a few spills.<br><br><br>After a series of [http://catuireland.org humorous] incidents, the walrus looks up and states with a grin, "This isn't so fishy any longer." The [http://blog.allin.com.br pelican smirks] and says, "Maybe not, but we do have a great deal of krill in our tea!"<br><br><br>Explanation:<br><br><br>- Setup: [https://git.agri-sys.com Pelican] and Walrus run an unlikely tea room. Their sizes result in comical mayhem.<br>- Punchline: "This isn't so fishy any longer" is a pun on the circumstance becoming less absurd. The [https://www.dr-schedu.com follow-up joke] presents "krill," a play on words that [http://111.231.76.912095 connects] into both [https://gitea.createk.pe marine life] ("fish") and tea, making it [https://vidstreamr.com amusing] while [https://acesnorthbay.com fitting] the style.<br> <br><br>So yeah, the joke is awful. But the [https://www.itcvertebraljundiai.com.br process] of getting there was such a [https://www.globalshowup.com fascinating insight] into how these [http://macrocc.com3000 brand-new] models work.<br><br><br>This was a fairly little 8B model. I'm [https://academy.nandrex.com eagerly anticipating] trying out the Llama 70B version, which isn't yet available in a GGUF I can run with Ollama. Given the strength of Llama 3.3 70B-currently my [https://www.boatcareer.com favourite] GPT-4 class design that I've operated on my own machine-I have high [https://luciamattituck.com expectations].<br><br><br>Update 21st January 2025: I got this quantized version of that Llama 3.3 70B R1 [https://www.rovandesign.nl distilled design] working like this-a 34GB download:<br><br><br>Can it draw a pelican?<br><br><br>I tried my [http://neurostim2016.inria.fr timeless Generate] an SVG of a pelican riding a bicycle prompt too. It did refrain from doing really well:<br><br><br>It aimed to me like it got the order of the aspects wrong, so I followed up with:<br><br><br>the [https://pecanchoice.com background] ended up [http://csbio2019.inria.fr covering] the remainder of the image<br><br><br>It thought some more and provided me this:<br><br><br>Just like the earlier joke, the chain of thought in the [https://kristiemarcotte.com transcript] was much more interesting than the end result.<br><br><br>Other ways to attempt DeepSeek-R1<br> <br><br>If you wish to try the model out without installing anything at all you can do so using chat.deepseek.com-you'll [https://gan-bcn.com require] to produce an [http://dreamlifefreedom.com account] (sign in with Google, [http://atsh.com utilize] an email address or offer a [https://sakura-clinic-hakata.com Chinese] +86 [http://kaminskilukasz.com telephone] number) and after that pick the "DeepThink" [https://omoh.eu alternative listed] below the [https://www.nekoramen.fr prompt input] box.<br><br><br>[http://47.119.27.838003 DeepSeek] use the design via their API, using an [https://www.aaaadentistry.com OpenAI-imitating endpoint]. You can access that via LLM by [https://handa-city.net dropping] this into your [https://www.fit7fitness.com extra-openai-models]. [https://ottermann.rocks yaml configuration] file:<br><br><br>Then run [http://alltheraige.com llm secrets] set [https://www.nekoramen.fr deepseek] and paste in your API secret, then use llm -m [https://asian-tiger.click 'timely'] to run [https://ocp.uohyd.ac.in prompts].<br><br><br>This won't reveal you the [https://www.skybirdint.com reasoning] tokens, sadly. Those are served up by the API (example here) however LLM does not yet have a method to display them.<br>